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Kubernetes

Kubernetes: orquestación de contenedores a escala

Implementa, escala y gestiona aplicaciones en contenedores con alta disponibilidad, tolerancia a fallos y despliegue continuo en clusters distribuidos.

kubectl apply -f deployment.yaml --record

Ejemplo: despliegue declarativo de una aplicación

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Autoescalado

Horizontal Pod Autoscaler ajusta réplicas según carga CPU o métricas personalizadas.

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Despliegue continuo

Rolling Updates y Rollbacks automáticos para minimizar downtime en cada versión.

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Seguridad y PoPs

RBAC, Network Policies y Pod Security Standards para controlar acceso y tráfico.

Arquitectura Itrion + Kubernetes

Master Control Plane

API Server, Scheduler, Controller Manager y etcd distribuido.

Node Workers

Kubelet, Kube-proxy y runtime container en cada nodo.

Add-ons

Ingress Controller, CNI Plugin, Metrics Server y Helm Tiller.

Proceso de adopción Itrion + Kubernetes

1 · Planificación y diseño
2 · Despliegue cluster
3 · Integración CI/CD
4 · Seguridad y network policies
5 · Operaciones y monitorización

Fortalezas de Itrion con Kubernetes

Implementamos CIS Benchmark y Network Policies para endurecer control plane y nodos worker.

Automatizamos despliegues con Argo CD o FluxCD, sincronizando git con el estado del cluster.

Desplegamos Prometheus, Grafana, Fluentd y ELK para métricas, logs y trazas centralizadas.

Configuramos probes de readiness/liveness y PodDisruptionBudgets para asegurar alta disponibilidad.

Razones para elegir Itrion

• Instalación de clusters HA con Kubeadm o managed (EKS/GKE/AKS) en ≤ 2 días.
• Pipelines GitOps con Argo CD para despliegues declarativos 100 % reproducibles.
• Hardening completo según CIS, network policies y control de acceso RBAC.
• Monitoring proactivo con Prometheus & ELK, response S1 < 10 min y SLA 99,9 %.

Kubernetes: Container Orchestration at Scale

Deploy, scale, and manage containerized applications with high availability, fault tolerance, and continuous deployment on distributed clusters.

kubectl apply -f deployment.yaml --record

Example: declarative application deployment

⚖️

Autoscaling

Horizontal Pod Autoscaler adjusts replicas based on CPU load or custom metrics.

🔄

Continuous deployment

Rolling Updates and automatic Rollbacks minimize downtime with each release.

🔒

Security and PoPs

RBAC, Network Policies, and Pod Security Standards to control access and traffic.

Itrion Architecture + Kubernetes

Master Control Plane

API Server, Scheduler, Controller Manager and distributed etcd.

Node Workers

Kubelet, Kube-proxy and container runtime on each node.

Add-ons

Ingress Controller, CNI Plugin, Metrics Server and Helm Tiller.

Itrion adoption process + Kubernetes

1 · Planning and design
2 · Cluster deployment
3 · CI/CD integration
4 · Security and network policies
5 · Operations and monitoring

Itrion strengths with Kubernetes

We implement CIS Benchmark and Network Policies to harden control plane and worker nodes.

We automate deployments with Argo CD or FluxCD, syncing git with cluster state.

We deploy Prometheus, Grafana, Fluentd and ELK for centralized metrics, logs and traces.

We configure readiness/liveness probes and PodDisruptionBudgets to ensure high availability.

Reasons to choose Itrion

• HA clusters installed with Kubeadm or managed (EKS/GKE/AKS) in ≤ 2 days.
• GitOps pipelines with Argo CD for 100% declarative reproducible deployments.
• Full hardening per CIS, network policies and RBAC access control.
• Proactive monitoring with Prometheus & ELK, S1 response < 10 min and 99.9% SLA.

At Itrion, we provide direct, professional communication aligned with the objectives of each organisation. We diligently address all requests for information, evaluation, or collaboration that we receive, analysing each case with the seriousness it deserves.

If you wish to present us with a project, evaluate a potential solution, or simply gain a qualified insight into a technological or business challenge, we will be delighted to assist you. Your enquiry will be handled with the utmost care by our team.